3 papers
cs.LG2025
Explainable Graph-theoretical Machine Learning: with Application to Alzheimer's Disease Prediction
Narmina Baghirova, Duy-Thanh VÅ©, Duy-Cat Can +6
Alzheimer's disease (AD) affects 50 million people worldwide and is projected to overwhelm 152 million by 2050. AD is characterized by cognitive decline due partly to disruptions i…
cs.LG2025
OPTIMUS: Predicting Multivariate Outcomes in Alzheimer's Disease Using Multi-modal Data amidst Missing Values
Christelle Schneuwly Diaz, Duy-Thanh Vu, Julien Bodelet +7
Alzheimer's disease, a neurodegenerative disorder, is associated with neural, genetic, and proteomic factors while affecting multiple cognitive and behavioral faculties. Traditiona…
cs.CV2025
VisTA: Vision-Text Alignment Model with Contrastive Learning using Multimodal Data for Evidence-Driven, Reliable, and Explainable Alzheimer's Disease Diagnosis
Duy-Cat Can, Linh D. Dang, Quang-Huy Tang +5
Objective: Assessing Alzheimer's disease (AD) using high-dimensional radiology images is clinically important but challenging. Although Artificial Intelligence (AI) has advanced AD…